The GenAI Trailblazer Workshop is an immersive, technical workshop designed to help your organization quickly move from GenAI interest to practical implementation. During the workshop, you work in a hosted lab environment built on VMware Private AI Foundation with NVIDIA. The focus is on: - Scoping and refining your GenAI use cases - Gaining hands-on experience with the platform - Reviewing infrastructure design options - Getting implementation guidance tailored to your environment The workshop is aimed at system and infrastructure administrators, AI engineers, and data scientists. Together, we explore how GenAI can reshape core functions such as sales, marketing, software development, supply chain, customer support, and purchasing. Given that GenAI is projected to contribute about $4.4 trillion in total economic impact across industries (McKinsey), the workshop is structured to help you translate that macro opportunity into concrete, actionable steps for your own enterprise.

VMware Private AI Foundation with NVIDIA is a joint platform from Broadcom and NVIDIA that lets you run GenAI in your own data center, so you can keep control of your data while still benefiting from modern AI capabilities. It is designed to address the main GenAI challenges enterprises report: 1. **Privacy and security** - Run fine-tuned large language models (LLMs), Retrieval Augmented Generation (RAG) workflows, and inference workloads on-premises. - Keep sensitive corporate data and IP within your own environment to support privacy and compliance requirements. 2. **Choice and flexibility** - Use a choice of LLMs, including NVIDIA foundation models, third-party and community models. - Leverage NVIDIA NIM microservices, NVIDIA NeMo Retriever, and a vector database to build and customize GenAI solutions. 3. **Cost and performance** - Take advantage of bare-metal performance and GPU management and optimization to get more value from your existing or planned NVIDIA GPU investments. - Use automation, NVIDIA NIM Operator, and AI Enterprise tooling to streamline deployment and operations, helping reduce operational overhead. 4. **Governance and compliance** - Apply model governance practices and standardized blueprints to manage how models are deployed, updated, and used. - Support compliance needs by keeping data, models, and logs under your governance framework. In short, the platform is built to help you reimagine productivity with GenAI while staying within your organization’s risk, cost, and compliance boundaries.

The GenAI Trailblazer Workshop is intended for organizations that are serious about moving GenAI projects into technical validation and implementation. **Eligibility requirements** To be selected, your organization should have: - Identified AI project(s) and defined use case(s) - Dedicated customer resources available to complete technical validation - An established timeline for purchase and implementation - Commitment to purchase from a budget owner - Certified hardware with NVIDIA GPUs already on-premises, on order, or budgeted - A minimum VMware Cloud Foundation (VCF) 5.2 full-stack deployment existing or planned Because of the depth of the engagement, the workshop is limited to **up to 10 attendees** to maintain a high-quality, interactive experience. **Who should attend** - System and infrastructure administrators - AI engineers - Data scientists **What your team will work with** The agenda covers practical, hands-on topics such as: - Deployment of customizable automation templates - Retrieval Augmented Generation (RAG) - Vector databases via Data Services Manager (DSM) - Deep Learning VM templates and self-service AI workstations - Triton Inference Server and OpenWeb UI - Kubernetes with GPU operators - Customization and fine-tuning of models - Design and sizing review for your environment By the end of the workshop, your team will have a clearer view of how to design, size, and operationalize a GenAI platform on VMware Private AI Foundation with NVIDIA, and how to apply it to your own use cases to unlock productivity gains.